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dc.contributor.authorRamakrishna, Sajja D.en
dc.date.accessioned2014-03-14T21:46:08Zen
dc.date.available2014-03-14T21:46:08Zen
dc.date.issued1992en
dc.identifier.otheretd-09192009-040304en
dc.identifier.urihttp://hdl.handle.net/10919/44849en
dc.description.abstractThe main objective of this research is to develop a model to predict congestion. This model is developed using the techniques of simulation and as the model requires dynamic modeling, DYNAMO is used. This model incorporates the three-regime linear model for establishing a relationship between speed and density of the traffic stream. The input to this model is obtained from a presence type detector system. These measurements are then used to calculate various parameters and then the state of the traffic flow for the vehicular stream in the test zone is determined. This model also predicts the state of the traffic stream in any other section of the highway behind the test section. The model developed is flexible and easy to incorporate in any traffic control system. This research is also intended to simulate the various traffic stream models and evaluate their performance regarding their capability to represent highway traffic flow conditions. A thorough review of the fundamentals of traffic flow is required to achieve these objectives. The simulation models developed for these traffic stream formulae incorporate various measures of effectiveness to determine congestion. These measures of effectiveness are used to define congestion. The study of the various traffic stream models is necessary in order to develop a flexible and efficient model to predict congestion. The congestion prediction model developed incorporates all the parameters required to define congestion.en
dc.format.extentviii, 149 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.isformatofOCLC# 26650523en
dc.relation.haspartLD5655.V855_1992.R363.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1992.R363en
dc.subject.lcshTraffic congestionen
dc.subject.lcshTraffic estimationen
dc.titleAn approach to predict traffic congestionen
dc.typeThesisen
dc.contributor.departmentCivil Engineeringen
dc.description.degreeMaster of Scienceen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineCivil Engineeringen
dc.type.dcmitypeTexten
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-09192009-040304/en
dc.date.sdate2009-09-19en
dc.date.rdate2009-09-19en
dc.date.adate2009-09-19en


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